Familiarity with event-driven programming in Python and with some ORM (Object Relational Mapper) libraries.

Secondary Skills (Desirable)

Data integration (batch, micro-batches, real-time data streaming) across Hadoop, RDBMSs, NoSQL (MongoDB/Hbase/Cassandra) and Data Warehousing hosted on premise as well as on cloud platforms (AWS/Azure) (at enterprise scale with at least one end to end implementation.

Experience optimizing web applications (CDN, Code compression)

Roles & Responsibility:

Responsible for architecture and design of products in Big Data Analytics space.

As the primary technical authority on Big Data Analytics and is responsible for the overall robustness of architecture and design across functional and non-functional parameters including performance, security, usability, scalability etc.